Statistics for the Behavioral and Social Sciences
by Aron, Arthur; Aron, Elaine N.Edition: 2nd
Format: Paperback
Pub. Date: 2002-01-01
Publisher(s): Pearson College Div
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Summary
Here, in the fourth edition of Statistics for the Behavioral and Social Sciences, the authors have refined their&text by building off an already well-established&approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also going beyond these principles to both further student understanding and stimulate the long-suffering community of statistics instructors. By using&definitional formulas to emphasize the concepts of&statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of&what they are doing.&
Table of Contents
Introduction.
1. Displaying the Order in a Group of Numbers.
2. The Mean, Variance, Standard Deviation, and z Scores.
3. Correlation and Prediction.
4. Some Key Ingredients for Inferential Statistics: The Normal Curve, Probability, and Population versus Sample.
5. Introduction to Hypothesis Testing.
6. Hypothesis Tests with Means of Samples.
7. Making Sense of Statistical Significance: Decision Error, Statistical Power, and Effect Size.
8. Introduction to the t Test.
9. The t Test for Independent Means.
10. Introduction to the Analysis of Variance.
11. Chi-Square Tests and Strategies When Population Distributions Are Not Normal.
12. Making Sense of Advanced Statistical Procedures in Research Articles.
Appendix: Tables.
Answers to Selected Practice Problems.
Glossary.
Glossary of Symbols.
References.
Index.
1. Displaying the Order in a Group of Numbers.
2. The Mean, Variance, Standard Deviation, and z Scores.
3. Correlation and Prediction.
4. Some Key Ingredients for Inferential Statistics: The Normal Curve, Probability, and Population versus Sample.
5. Introduction to Hypothesis Testing.
6. Hypothesis Tests with Means of Samples.
7. Making Sense of Statistical Significance: Decision Error, Statistical Power, and Effect Size.
8. Introduction to the t Test.
9. The t Test for Independent Means.
10. Introduction to the Analysis of Variance.
11. Chi-Square Tests and Strategies When Population Distributions Are Not Normal.
12. Making Sense of Advanced Statistical Procedures in Research Articles.
Appendix: Tables.
Answers to Selected Practice Problems.
Glossary.
Glossary of Symbols.
References.
Index.
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